MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061360 A) filed by Sr University, Warangal, Telangana, on May 14, for 'a multi-modal deep learning system for solar irradiance estimation.'
Inventor(s) include Bongoni Naresh; and Dr. Amit Kumar Yadav.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "Disclosed herein is a multi-modal deep learning system (100) for solar irradiance estimation using satellite imagery, meteorological data, and distributed IoT sensors, the system (100) comprises a satellite imagery acquisition module (102) configured to acquire satellite imagery associated with cloud cover, aerosol distribution, atmospheric patterns, and surface reflectance data. A meteorological data module (104) configured to collect meteorological parameters. An IoT sensor network module (106) comprising a plurality of distributed irradiance sensors. A data communication module (108) configured to transmit the satellite imagery, meteorological parameters, and IoT sensor data to a high-performance computing server. A multi-branch deep learning module (110) comprising a satellite encoder, a weather encoder and an IoT encoder. A hierarchical fusion module (112) configured to receive extracted features. A prediction module (114) configured to generate solar irradiance estimation outputs. An explainability module (116) configured to generate interpretable prediction outputs."
Disclaimer: Curated by HT Syndication.
